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Pengembangan Teknologi Sistem Pendeteksi Kualitas Tanah Berbasis IoT untuk Peningkatan Produktivitas Hasil Panen Riyadhul Fajri; Salamah; Iqbal; Barokah, Muhammad
Jurnal Malikussaleh Mengabdi Vol. 4 No. 2 (2025): Jurnal Malikussaleh Mengabdi, Oktober 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i02.24675

Abstract

Teknologi Internet of Things (IoT) menawarkan solusi inovatif untuk meningkatkan efektivitas pengukuran suhu tanah melalui pemasangan sensor suhu yang terhubung ke jaringan internet. Pemantauan suhu tanah yang akurat dan real-time merupakan aspek penting dalam bidang pertanian, perkebunan, dan pengelolaan lingkungan. Pemanfaatan Internet of Things (IoT) dalam sistem monitoring pengukuran suhu tanah memainkan peranan penting dalam meningkatkan produktivitas pertanian dan memberikan kontribusi pada konservasi lingkungan. Melalui desain sistem pemantauan berbasis IoT, sensor-sensor berkualitas seperti sensor suhu dan kelembapan tanah dapat dipasang untuk mengumpulkan data real-time yang memungkinkan petani untuk membuat keputusan yang lebih tepat. Tujuan pengabdian ini dapat mengembangkan sistem monitoring suhu tanah berbasis IoT yang mampu mengumpulkan data secara otomatis dan terus-menerus, serta menampilkan informasi secara langsung melalui tampilan dilayar LCD. Adopsi IoT dalam pertanian juga menyasar pada pengurangan biaya operasional dan penghindaran pemborosan sumber daya. Hasil Pengabdian pemanfaatan IoT dalam sistem monitoring pengukuran suhu tanah tidak hanya meningkatkan produktivitas pertanian, tetapi juga mempromosikan kelestarian sumber daya alam. Hasil implementasi menunjukkan bahwa sistem IoT ini mampu meningkatkan akurasi pengukuran, mengurangi biaya operasional, dan memudahkan pengawasan kondisi tanah secara menyeluruh. Pengembangan sistem ini diharapkan dapat mendukung kegiatan pertanian berkelanjutan dan pengelolaan sumber daya alam secara lebih efektif. Hal ini menjadi langkah penting dalam mengatasi tantangan perubahan iklim dan penurunan kualitas tanah, serta mendukung pertanian berkelanjutan.
Implementation of Ward AHC for Material Clustering Based on Mechanical Parameters Yusuf, Edy; Bakhtiar; Syukriah; Burhanuddin; Riyadhul Fajri
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.977

Abstract

This study aims to implement the Ward Agglomerative Hierarchical Clustering (Ward AHC) algorithm to classify materials based on mechanical parameters, including tensile strength (Su), yield strength (Sy), elastic modulus (E), shear modulus (G), Poisson's ratio (?), and density (?). The clustering results reveal that the data is divided into three main groups with the following distributions: Cluster 1 (321 data points), Cluster 2 (403 data points), and Cluster 3 (828 data points). Each cluster exhibits unique characteristics: Cluster 1 is dominated by materials with low Su and Sy values, moderate E and G values, and light ?. Cluster 2 features materials with very high E values, while Su, Sy, and G values vary. Cluster 3 is characterized by moderate Su values, low Sy values, high E and G values, and light ?. An evaluation using the Silhouette Score yielded a value of 0.492, indicating that the clustering quality is reasonably good, though there is evidence that some data points may lie near the boundaries between clusters.
Theft Detection System Using Laser Based on Arduino Uno Riyadhul Fajri; Zulkifli, Zulkifli; Prananda, Denny
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26938

Abstract

The increasing number of theft cases demands an effective, simple, and affordable security system. This research aims to design and implement an Arduino Uno-based burglar detection system utilizing laser light as a detection medium. This system works based on the principle of breaking the laser light directed to a Light Dependent Resistor (LDR) receiver sensor. When the laser light is blocked by an object, a change in light intensity occurs which is then processed by the Arduino Uno to activate an alarm as an indicator of interference. The research methods used include hardware and software design, system assembly, and tool performance testing. The test results show that the system is able to detect interference in real-time with a fast response and a good level of reliability. In addition, this system has advantages in terms of economical costs, ease of implementation, and flexibility for further development, such as integration with an Internet of Things (IoT)-based notification system. Based on the design and testing results, the Arduino Uno-based burglar detection system using a laser sensor can work well in detecting interference. The system is able to respond quickly when the laser light is broken by activating an alarm as a warning sign. From the test results, it can be concluded that this tool has a fairly good level of reliability, is easy to design, and has a relatively low cost. In addition, this system is also flexible and can be further developed by adding features such as remote notification or integration with IoT technology. Thus, this system can be used as an alternative solution to improve environmental security simply, effectively, and efficiently. In the future, the use of more sensitive and stable sensors, such as photodiodes or infrared sensors, can be considered to improve detection accuracy. As well as the addition of backup power sources (batteries or UPS) so that the system continues to function during power outages. With the presence of a laser that will control home security when residents are not at home and become more comfortable when left alone. Home residents through this tool system will be able to know the motion data between the sensor and objects that become obstacles. The status of the movement is displayed through sound and its status is displayed by LED lights.